Does green innovation facilitate firms' access to trade credit?

Employing a large sample of Chinese firms, this study examined the influence of corporate green innovation on firms' access to trade credit. The results indicated a positive association between green innovation and firms' capability to access trade credit, suggesting that suppliers value firms' green innovation capabilities. This relationship was strengthened after the implementation of the new Environmental Protection Law (EPL) in 2015, which enhanced the value of green innovation.

Middle school students' mental unwellness and academic performance in China: The effects of parental involvement.

This study investigated the relationship between the mental unwellness of middle school students in China and their academic performance in the subjects of Chinese, mathematics, and English. Additionally, this study explored the potential ameliorating effects of parental involvement variables (parental non-academic activity involvement and parent-child communication) on the adverse impact of mental unwellness on academic performance. The examination of the effects of parental involvement also considered the differential effects of involvement by mothers and fathers.

The Role of integrating AI and VR in fostering environmental awareness and enhancing activism among college students.

Given the increasing concern about the destructive impact of sympathetic activities on the Earth, involving the next generation in environmental conservation is crucial. Therefore, this study aims to explore how artificial intelligence (AI) and virtual reality (VR) can strengthen college students' environmental awareness and encourage them to make a move on environmental issues. Four hundred college students from diverse socioeconomic backgrounds participated in a six-month study, and 375 valid questionnaires were successfully collected.

Can digital economy improve employment structure?-Mediating effect based on a spatial Durbin model.

Based on the panel data of 283 prefecture-level cities in China from 2011 to 2019, this study constructed an index measurement system of digital economy, economic agglomeration, innovation and entrepreneurship, and employment structure. The index of digital economy was developed by entropy weight method, and the double-fixed spatial Durbin model was constructed based on the intermediary effect from the spatial perspective to determine the direct effect, indirect effect, and total effect of the digital economy, economic agglomeration degree, and innovation and entrepreneurship on employment structure. The results indicated a significant spatial correlation between the three aspects, i.

Impact of the intensive use of urban construction land on carbon emission efficiency: evidence from the urban agglomeration in the middle reaches of the Yangtze River.

Urban construction land, as the main carrier of socioeconomic activities, is also a land type that is associated with large carbon emissions. This study uses statistical data of the urban agglomeration in the middle reaches of the Yangtze River (UAMRYR) from 2006 to 2020 to examine the mechanism of the intensive use of urban construction land (IUUCL) on carbon emission efficiency (CEE) from the perspective of urban land resource utilization. The study shows that the capital-intensive and technology-intensive use of urban construction land can significantly increase CEE, while increased labor and energy intensification inhibits CEE.

Can the establishment of an innovative city improve the level of technological entrepreneurship?

Based on the data of 278 prefecture-level city panels in China from 2008 to 2020, this paper presents the policy of innovative pilot city as a quasi-natural experiment. It is found that (1) the implementation of innovative urban policy can significantly improve the level of science and technology entrepreneurship, but the pilot policy has a time lag effect and has a continuous promoting effect since the third year. (2) For large cities, areas with high levels of economic development, central and eastern regions and cities with high new infrastructure, innovative cities can improve the level of technological entrepreneurship; (3) Innovative cities improve the level of technological entrepreneurship by improving the incubator of technological enterprises and strengthening the flow of human capital; (4) The effect of the establishment of innovative cities on the level of technological entrepreneurship mainly shows that the siphon effect does not show radiation effect, and this siphon effect mainly improves the level of technological entrepreneurship by increasing the number of incubators of technological enterprises.

The impact of household wealth gap on individual's mental health.

Background: Improving the individual's mental health is important for sustainable economic and social development. Although some studies found that household wealth gap may affect individuals' mental health, few studies have clarified the causal relationship between household wealth gap between mental health in China. This study examines the impact of the household wealth gap on individuals' mental health using data from the 2012-2018 China Family Panel Survey.

Modeling spatial-temporal variability of PM2.5 concentrations in Belt and Road Initiative (BRI) region via functional adaptive density approach.

The rapid development of the Belt and Road Initiative (BRI) has led to severe air pollution dominated by PM2.5 concentrations which can cause a profound negative impact on human health and economic activity. This problem poses a critical environmental challenge to efficiently handling large-scale spatial-temporal PM2.

Quantifying the contributions of natural and anthropogenic dust sources in Shanxi Province, northern China.

Dust storms have direct or indirect impacts on climate change and human health. Identifying and quantifying natural/anthropogenic dust sources can facilitate effective prevention and control of dust events. Based on surface real-time PM monitoring data, satellite remote sensing and the HYSPLIT model, this study determined the specific timing, coverage and sources of dust events in Shanxi Province, Northern China.

Ethnic differences in eating patterns and their associations with obesity among adults in West China.

Despite observed ethnic differences in eating patterns and obesity, evidence in China is limited. This study examined ethnic differences in eating patterns and their associations with weight outcomes among multi-ethnic adults in West China. A cross-sectional survey collected self-reported data on demographics, eating behaviours, weight and height in 2021.

How does agricultural production outsourcing services affect chemical fertilizer use under topographic constraints: a farm-level analysis of China.

Agricultural production outsourcing services (APOS) are an important means to promote green and low-carbon development of agriculture in China. Topography is the key factor limiting the development of APOS. There is little research on the influence relationship between APOS and farmers' chemical fertilizer use from the perspective of topography.

Incentives, penalties, and digital transformation of enterprises: evidence from China.

This study uses the difference-in-difference (DID) method to explore the relative effectiveness and mechanism of the "Ten Measures on Air Pollution Prevention and Control" (TMAPPC) policy and the "carbon trading" pilot (CTP) policy on the digital transformation of enterprises. The research results show that the incentive effect of market-incentive environmental regulation on the digital transformation of enterprises is better than that of command-control environmental regulation. In addition, there are differences in the mechanism of action; the level of digital economy development and market competition can strengthen the incentive effect of market-incentive environmental regulation on the digital transformation of enterprises; the government support and media attention can strengthen the incentive effect of command-control environmental regulation on enterprises' digital transformation.

AI-Based Optimal Treatment Strategy Selection for Female Infertility for First and Subsequent IVF-ET Cycles.

Over the last 20 years, China's infertility rate has risen from 3% to 12.5%-15%. Infertility has become the third largest disease following cancer and cardiovascular disease.

Characterizing Soil Profile Salinization in Cotton Fields Using Landsat 8 Time-Series Data in Southern Xinjiang, China.

Soil salinization is a major obstacle to land productivity, crop yield and crop quality in arid areas and directly affects food security. Soil profile salt data are key for accurately determining irrigation volumes. To explore the potential for using Landsat 8 time-series data to monitor soil salinization, 172 Landsat 8 images from 2013 to 2019 were obtained from the Alar Reclamation Area of Xinjiang, northwest China.

A novel framework for improving soil organic matter prediction accuracy in cropland by integrating soil, vegetation and human activity information.

Remote sensing is an important tool for monitoring soil information. However, accurate spatial modeling of soil organic matter (SOM) in areas with high vegetation coverage, typically represented by agroecosystems, remains a challenge for field-scale estimation using remote sensing. To date, studies have focused on using single-period or multi-temporal vegetation information to characterize SOM.

Age-dependent association of high urinary iodine concentration with major depression in adults: NHANES 2007-2020.

Excessive iodine exposure can have detrimental effects on thyroid function and overall health. This study aimed to investigate the age-dependent association between high urinary iodine concentration (UIC) and major depression symptoms in adults, using data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2020. To perform stratified analysis by age, we utilized a rolling window method with a 15-year window width to examine the trend of the odds ratios (ORs) of UIC on depression symptoms with age.

Spatial-temporal trends in global childhood overweight and obesity from 1975 to 2030: a weight mean center and projection analysis of 191 countries.

Background: The geographic information science-based interactive map provided good prospects for the public health to study disease prevalence. The purpose of this study is to understand global spatial-temporal trends of childhood overweight and obesity and underlying causes help formulating intervention strategies.

Methods: This multiple cross-sectional study included data on childhood overweight and obesity prevalence, gross national income per capita, and urbanization rate for 191 countries from 1975-2016.

Is smart carbon emission reduction justified in China? Evidence from national big data comprehensive pilot zones.

The intelligent revolution caused by new digital technologies has provided new impetus to reduce carbon emissions. However, the current research on new digital technologies and carbon emissions is still in its infancy and lacks empirical conclusions between them. Therefore, this paper studies the impact of new digital technologies on carbon emissions, identifies its mechanism, and analyzes the regional heterogeneity of its effects.

The impact of industrial collaborative agglomeration on total factor carbon emission efficiency in China.

Improving total factor carbon emission efficiency (TCE) is the key to achieving carbon emission reduction targets while ensuring economic growth. In this paper, the global Malmquist index based on the SBM model is used to measure TCE of 283 cities in China from 2011 to 2019. On this basis, this paper uses the spatial econometric model and intermediary effect model to empirically analyze the impact of industrial co-agglomeration on TCE and its transmission mechanism.

Effect of place-based policy on regional economic growth: A quasi-natural experiment from China's Old Revolutionary Development Program.

Triggering economic growth is a requirement to promote human welfare and realize sustainable development in many developing countries. However, place-based policies' impact on economic growth is debatable, and its underlying mechanism is unknown. China's Old Revolutionary Development Program (ORDP) is a large-scale and novel type of place-based policy targeted at undeveloped regions in China.

Comparison of Depth-Specific Prediction of Soil Properties: MIR vs. Vis-NIR Spectroscopy.

The prediction of soil properties at different depths is an important research topic for promoting the conservation of black soils and the development of precision agriculture. Mid-infrared spectroscopy (MIR, 2500-25000 nm) has shown great potential in predicting soil properties. This study aimed to explore the ability of MIR to predict soil organic matter (OM) and total nitrogen (TN) at five different depths with the calibration from the whole depth (0-100 cm) or the shallow layers (0-40 cm) and compare its performance with visible and near-infrared spectroscopy (vis-NIR, 350-2500 nm).

Decision models of emission reduction considering CSR under reward-penalty policy.

For the two emission reduction technologies of clean process (CT Mode) and end-of-pipe pollution control technology (ET Mode), this paper constructs production and low-carbon R&D decision-making models considering consumers' green preference, and discusses the impact of social responsibility on firm's decision-making, profit and social welfare. Then, the difference of optimal decision, profit and social welfare is analyzed when the firm adopt two emission reduction technologies with or without reward-penalty policy. The main conclusions of this paper are as follows: (1) Whether using clean process technology or end-of-pipe pollution control technology, consumers' green preference behavior can increase corporate profit.

The retrospective data analysis on the pedigree of nervous system diseases in children.

Nowadays, the development of diagnosis and treatment technology is constantly changing the pedigree and classification of nervous system diseases. Analyzing changes in earlier disease pedigrees can help us understand the changes involved in disease diagnosis from a macro perspective, as well as predict changes in later disease pedigrees and the direction of diagnosis and treatment. The inpatients of the neurology department from January 2012 to December 2020 in Hunan Children's Hospital were retrospectively analyzed.

The effect of vaccine on COVID-19 spread by function-on-scalar regression model: a case study of Africa.

Aim: This paper aimed to study the effect of the vaccine on the reproduction rate of coronavirus in Africa from January 2021 to November 2021.

Subject And Methods: Functional data analysis (FDA), a relatively new area in statistics, can describe, analyze, and predict data collected over time, space, or other continuum measures in many countries every day and is increasingly common across scientific domains. For our data, the first step of functional data is smoothing.

Systemic risk contagion of green and Islamic markets with conventional markets.

Financial markets are exposed to extreme uncertain circumstances escalating their tail risk. Sustainable, religious, and conventional markets represent three different markets with various characteristics. Motivated with this, the current study measures the tail connectedness between sustainable, religious, and conventional investments by employing a neural network quantile regression approach from December 1, 2008 to May 10, 2021.